DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

@article{Xu2019DLocRLAD,
  title={DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets},
  author={Canwen Xu and J. Li and Xiangyang Luo and Jiaxin Pei and Chenliang Li and D. Ji},
  journal={The World Wide Web Conference},
  year={2019}
}
In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems. In this paper, we propose DLocRL, a new deep learning pipeline for fine-grained location recognition and linking in tweets, and verify its effectiveness on a real-world Twitter… Expand
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References

Joint Recognition and Linking of Fine-Grained Locations from Tweets
  • 34
  • Highly Influential
  • PDF